It's comprehensive, even covering tensorflow. More details on tensorflow are suggested. Also the theory are more abstract and not quite well explained as previous courses.

Week 2 was very informative, Prof Andrew discusses the concepts behind gradient descent and momentum in detail. The programming exercises could have been more challenging.

The videos were great! Personally I was lacking some additional reading material and more quizzes. Other than that, the course demystified different optimization technics.

Very informative and explained very well. This course increased my enthusiasm and interest in ML further more. Looking forward to learn more about DL in the next courses.

A very good course. The current course content related to Tensorflow syntax detail (week 3) can be improved. Future coursework should probably use the latest framework/s.

A great course to learn how to make our deep learning models better. The flow of the course is superb. The only thing I felt can be improved was the level of assignments.

Good coverage of practical issues in hyper-parameter tuning, regularization, and optimization of algorithms. Would be better if it covers TensorFlow 2.0 (instead of 1.0).

couple of problems in notebook files (especially in the last homework) wasted my time, but it was a great course and to understand the math behind and learning tensorflow

Some of the Topics like tensorflow should be have some more explaination but even though the course is excellent and as far as for Andrew Ng ,he is best among the bests.

Learning a lot. But full of boiler plate codes. It would be great if students were challenged with programming. Writing a formula even in code is easy for most students.

The content is good but I didn't feel comfortable with tensorflow assignment. That could be improved by stressing more on tensorflow syntax and explaining it in detail.

I would like to have a brief introduction to Tensor Flow or a simple beginners tutorial (at least to have it clearer the usage of variables, constants and placeholders)

As always, the explanations are very clear. I would've just preferred if the newer versions of TensorFlow with the eager execution was included in the course syllabus.

Was tough understanding the concept, but google and maintaining notes really helps this class. All the concepts required understanding the concept exist in the course.

Gives good information on how to tune your parameters so that the neural network gives awesome results. Really important course for beginners as well as intermediates.

This is a very necessary and informative course after knowing the basics of neural networks.

As this course covers all details to speed up the neural network learning.

Enjoyed the course information and assignments in the first two weeks, but the last week's assignment needs improvement as it is not well correlated with the videos.

Very well articulated course and brings out the concepts very well. I wish there was a bit of more guidance to sudden introduction of tensor flow, especially syntax.

It was a very great course , I've learned a lot things from it, But the only problem is that in the Last assignment we were using Tensorflow1 instead of Tensorflow2

Great course! Very comprehensive and detailed, loved the examples and the assignments. Some concepts cold have been explained a bit clearly but overall pretty good.

These course really are 5 star learning but in terrible terrible need of video editing. We see outtakes, we see all three takes Andrew took to try to say something.

Some issues saving my Python code. I'd complete and submit or complete in part and return and my work would not save or I'd get marked incorrect in the assignments.

Excellent course.

Shame about the total lack of support available for questions about problems I encountered. When I am paying for something, I expect some support.

Really well structured course,the instructor explains every point to the most accuracy and helps us in gaining an very detailed understanding of all the concepts.

Course content is awesome, but I feel should have chosen PyTorch instead of TensorFlow, which seems easy and better than TensorFlow.

except that course is awesome.